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«Пора ли гнать на мороз Computer Vision — scientist'ов ?» (Fondation Models и вокруг)

Прошлый год в Computer Vision запомнился тем, что появилось множество больших претрейненных сетей (Fondation Models). Самая известная - GPT4v (ChatGPT с обработкой изображений).
В статье я попробую простым языком объяснить что это такое (для тех кто пропустил), как меняет индустрию. И когда можно будет выгнать на мороз лишних "ресерчеров".

Поговорим о следующем:

  1. Что вообще такое "предтрейненные сети"

  2. Где они используются?

  3. Можно ли заменить ими обучение/разработчиков?

  4. Какие есть ограничения?

  5. Что будет дальше?

CV DS на морозе
CV DS на морозе

Совсем чуть-чуть теории и контекста

Fondation Models нужны для того чтобы не собирать датасеты. Чтобы из коробки работала классификация, детекция, сегментация, аналитика и все такое. В идеальном мире такие сетки должны использоваться как сети-учителя для маленьких сетей, как production-ready системы, как команду разметки, как аналитика.

Смысл больших предтрейненных сетей для Computer Vision проще всего показать на примере FaceRecognition.
Никто не "учит" сетку по каждому человеку отдельно. Сетки учат генерить стабильный "хэш" на базе из миллиона людей. Это называется "эмбеддинг". И чтобы понять насколько один человек похож на другого смотрят близость между хэшами.
Чем больше изображений при обучении, тем стабильнее сеть. Она может работать с разными поворотами лиц, от освещением, возрастом.

Картинка из какой-то старой статьи
Картинка из какой-то старой статьи

То же самое большие претрейн сетки делают и с фотографиями. Учатся на миллионных базах выдавать стабильные хэши.
Показал какой-то предмет. И все аналогичные предметы теперь имеют близкий хэш. Теперь вам не надо собирать огромные датасеты. Достаточно десяток картинок для обучения и ваша задача решена. В теории.

Для обучения таких сеток есть два-три основных высокоуровневых способа:

Первый - через текстовое описание. Например это используется в CLIP. Нейронная сеть построена таким образом чтобы минимизировать дистанцию от ембеддинга сети и ембеддинга текста. Почти так же учат мультимодальные модели.

ecaab201475006440723e3c488f340f8.png

Второй подход частично пересекается с первым. Возьмем все датасеты которые есть - и обучим их с одним бэкбоном(нижняя часть сетки). Верхушка этого бекбона - и будет достаточно универсальным описанием изображения. Обычно прямо сходу это не работает, а поверх такого бекбона что-то дотренировывают. Такой подход был популярен пару лет назад, сейчас вижу все реже и реже. Примером является, например InternImage. Такие подходы тоже часто мультимодальные.

Пример такого подхода
Пример такого подхода

Другой подход - через SSL (self-supervised learning). Обрезаем изображение двумя разными способами (а можно повернуть или аугментировать другими способами). Просим сеть минимизировать расстояние между ними. И максимизировать с другими изображениями. Dino, I-Jepa и много других моделей натренировано именно так.

Схема обучения от DINOv1
Схема обучения от DINOv1

Это не все способы (например Segment Anything не попадает в классификацию), но для большинства задач они лежат в основе.

Все что написано выше не отвечает на вопросы:

  1. Как на базе этого "эмбеддинга" делать One-Shot детекцию и сегментацию.

  2. Как это дело интегрируется в LLM нейронки. Например GPT4V и Gemeni.

Я пройдусь по основным сеткам, и проговорю те механики которые там есть для решения этих проблем. И заодно расскажу зачем эти сетки нужны.
К основным Fondation Models я бы отнес:

CLIP и его производные

CLIP - достаточно старая сеть, но до сих пор часто где работает. Его часто используют чтобы найти похожие фотографии, найти аномалии, упростить разметку. CLIP бывает и супер большим и достаточно маленьким. Может работать даже на embedded устройствах (вот тут я показываю несколько примеров для разных железок). Минус CLIP'а - он очень плох для любых мелких изображений, плохо работает для сцен где слабо что-то поменялось но сильно поменялся смысл.

Для CLIP достаточно много моделей и их постоянно апдейтят:

9f2924f2f2e7dbdfdbf92eca91cfee04.png

DINOv2

Большая сеть от FaceBook. Для обучения были потрачены большие вычислительные мощности. Кто-то оценивал что аренда таких мощностей на Амазоне стоила бы порядка десяти миллиона долларов. Работает и в медицине и в аэрофотосъемке. Dinov2 генерит не одну фичу на все изображения, а одну фичу на каждый квадрат 14*14 пикселей. Это дает куда больше понимание происходящего, и решает часть проблем CLIP.

69984fa17cc17f2dda74a39c97fc0f3e.png

Здесь разница цвета показывает насколько близки фичи (дистанция в N-мерном пространстве). Плюс, фон был отрезан методом главных компонент.

Для DINOv2 много сходных сетей. Например I-JEPA, iBot, etc. Я бы сказал что основное отличие DINOv2 - нигде больше нет такого хорошего и качественного претрейна по огромному датасету с такой открытой лицензией. Но при тренировке по своему датасету лучше выбрать I-JEPA.

I-JEPA быстро обучается. Логика чуть-чуть другая, но глобально то же самое "восстановление картинки"
I-JEPA быстро обучается. Логика чуть-чуть другая, но глобально то же самое "восстановление картинки"

Через небольшой тюнинг DINOv2 решает массу задач. Детекция, поиск аномалий, one-shot learning и многое другое.
Но сам по себе Dinov2 не очень удобный инструмент для новичков. Главная фича не сильно лучше чем CLIP (если брать последние релизы на хорошей архитектуре). А более низкоуровневыми фичами надо уметь пользоваться.

InternVideo ViCLIP

InternVideo ViCLIP - одна из самых сильных нейронок для создания эмбеддингов видео. Я бы сказал что это единственная CLIP подобная модель для видео с хорошим качество и и открытыми исходниками. Что удивительно - работает очень быстро.

Логика тренировки похожа на что-то среднее между CLIP и DINO
Логика тренировки похожа на что-то среднее между CLIP и DINO

SegmentAnything

Модель появилась весной 2023го года. Одна из немногих тут моделей которая использовала другую схему тренировки. Модель выделяет маски для всех объектов на фотографии. Тут есть небольшой вопрос "а что считать объектом". С этим модель действительно путается. И множество дальнейших модификаций модели позволяют уточнить этот термин по разному:
SAM-HQ для работы с мелкими деталями объектов

b7cafa87ab741f3512aeda4f7f006c0a.gif

SAM-Video - для стабилизации работы с видео и с мелкими объектами:

2352477bd40f396799cd8201d0e3d282.gif

SAM4MIS - для медицинских данных

960183db42b4ca70ed2fd9093f5f3e9e.png

Вот тут я рассказываю чуть-чуть более подробно про SAM и показываю на видео его ограничения.

SAM тренируется иначе чем все остальные приведенные сети. Более классическим подходом с разметкой датасетов. Но, объёмы огромные. И присутствует какой-никакой SSL в тренировке. Специальная модель оценивает качество сегментации и решает на базе этого качества можно ли пускать в обучение или надо доразметить.

Grounding Dino

Сеть в каком-то смысле начиналась как навес на DINO, но по сути воспринимается как отдельная сеть. В неё авторы сосредоточились на том как детектировать объекты с текстовым описанием. Ни DINO ни CLIP напрямую это не умеют. Но тут авторы решали эту задачу из коробки и хорошо. Для многих простых задач работает неплохо

f11f59d53ab248a6996fa62c48330876.png

TRex. От тех же авторов. К сожалению для этой сети нет кода. Но идея является развитием GD. Детекция всех похожих объектов по одному отмеченному объекту.

2cda620e13847ffdda5dda91fc9efc4c.gif

Language models for images: LLAVA, MiniGPT-4, etc.

Больше всего хайпа в последнее время именно вокруг интеграции LLM с изображениями. Зерно истины тут есть. Но есть небольшая проблема. Я не знаю ни одной промышленной задачи где LLM + изображение работало бы лучше чем приведенные выше модели. На LLM можно красивее показывать демки. Например запрос "есть ли на этом изображении ситуация A". Но близость эмбеддингов для CLIP между этим текстом и изображением будет лучше. При этом, конечно, для пользователя более no-brain является использование LLM интерфейса.

За пределами Computer Vision задач больше. Но это уже больше задачи LLM где изображение это лишь часть контекста запроса к LLM модели:

Пример работы на картинке от GPTv4
Пример работы на картинке от GPTv4

Как эмбеддинги изображения цепляют к LLM? Самый простой вариант - примерно вот так:

LLAVA
LLAVA
MiniGPT-4
MiniGPT-4

По сути подаем на уровне текста, как часть последовательности (обычно отнормировав линейным слоем). Кажется, что это не единственное решение, как минимум видел несколько размышлений как это можно сделать иначе. Но все OpenSource модели прмерно так делают (поправьте если нет). Из OpenSource известнее всего:

  1. LLAVA - https://llava-vl.github.io/

  2. MINI-GPT4 - https://github.com/Vision-CAIR/MiniGPT-4

Про ограничения я тут рассказывал подробно. Это прошлая версия MinGPT. Те же проблемы есть в LLAVA. GPT4V чуть-чуть лучше, но просто ошибки более закопанные. Вот тут есть неплохой разбор про медицину, например.

LLAVA-Video

Кроме обычной LLAVA есть ещё и LLAVA с визуальными эмбеддингами (те самые InternVideo про которые я говорил выше). Опять же те же самые проблемы и плюсы - https://github.com/PKU-YuanGroup/Video-LLaVA

Прочее

Как я и говорил, к большим претрейнам можно отнести много чего. В том числе сетки которые натренированы на больших датасетах. Их таких примеров можно например упомянуть:

  1. UNINEXT - универсальная сетка для трекинга

  2. InternImage - универсальная сетка для детекции, классификации и всего такого, обучавшаяся на всех доступных датасетах

Реальный прод и замена разрабов?

Уф. Краткий экскурс затянулся. Давайте поговорим о том почему хороши One-Shot сетки.

  1. Не надо обучать. Это не совсем так. Чем сложнее задача - тем больше надо потратить времени на хорошую детекцию. По каким-то задачам достаточно одного изображения/промпта. По каким-то их должны быть десятки или сотни. Но все равно это обычно быстрее чем собирать большой датасет.

  2. Возможность корректировать поведение системы в проде. Когда прямо на ходу, без переобучения, можно модифицировать отклик системы. Это решение другого класса задач.

  3. Цена прототипа. Понятно что если можно свернуть разметку/обучение - система будет дешевле. Не все ошибки можно так компенсировать.

А вот минусы у таких сеток оказываются совершенно другие:

  1. Долгий инференс, много памяти. Это не решение когда вам нужно 20FPS. Да, некоторые маленькие модели можно тащить на том же RockChip или Jetson (вот тут рассказываю какая скорость может получиться)

  2. Точность ниже. Если вы делаете что-то сложнее "детекция людей и собачек" - точность будет ниже чем модель натренированная по хорошему датасету.

  3. Сложнее пайплайны/переобучение. Если в проде есть их тренировка. Например Dinov2 или I-Jepa натренированные по медицинскому домену. Такая тренировка может стоить десятки тысяч долларов на один прогон. И засетапить её явно сложнее чем оттюнинговать Yolov8 по вашему датасету:)

  4. Фичи Fondation Models стабильные, но часто они не могут съесть "новую" задачу. Я видел несколько доменов где Dinov2 кое-как работал из коробки, но сильно хуже чем по знакомым доменам (хирургия например). Более слабые модели (InternImage, etc.) были ещё хуже.

Тут уже видно, что все не очень однозначно. Кажется, что не всегда можно поменять ресерчера:)
Но как же "я на GPT4v сделал полезное приложение за два дня!". Давайте посмотрим где действительно Fondation Models дают большой эффект:

  1. Новые продукты. Fondation Models позволяют решать проблемы которые раньше были нерешаемы. Но это очень узкий класс проблем, которые очень сложно внедрять в рынок. Например ещё 5-6 лет назад, в Cherry Labs мы создали One-Shot модели для распознавания действий. По скелетам. Тогда ни у кого такого не было. Думаете мы смогли их эффективно продать? Нет. Но демки на них было делать классно.
    Сейчас One-Shot модели для действий стали в OpenSource. При точности выше. Только вот продукты так и не появились. А демок стало ещё больше.
    Да, сколько-то новых продуктов появиться, я уже видел. Но явно меньше чем для LLM.
    Когда мне показывают очередной продукт - я уточняю "а какая точность была бы у нормального Action Recognition" и "а сколько стоит собрать датасет"? Обычно

  2. Прототипы. Да, не так точно. Не так эффективно. Но быстро собрать и проверить гипотезу.

  3. Оптимизация текущих пайплайнов. Например можно сделать разметку быстрее. Или сделать teacher-сеть для простых задач. Это не взрыв мозга, а это "оптимизация стоимостей на десяток процентов"

Хорошо ли это? Конечно. Но достаточно далеко от мнения "нас заменят". Пока что:)
А для каких-то задач это звучит как "ещё больше инженерных задач вместо RnD и ещё больше костов на железо".

Использовал ли такие модели я в последнее время? Да, как минимум в 3х проектах: в одном был таки продукт на базе one-shot, но до прода ещё не дошло. Ещё в одном можно было обойтись без сбора сложного датасета + работало как anomaly detection. И ещё в одном были навигационные задачи. Они бы решались и так, но с помощью One-Shot было бы проще.

Будущее

Я думаю, что модели будут развиваться, появляться больше претрейнов по более хорошим дататсетам - и ситуация должна улучшаться. Прототипы которые могут появиться на новых сетях - уже появились или появятся в ближайшие пол года-год. А остальное - это про косты и оптимизацию.

Что, совсем никаких новых прорывов?
Думаю что все же будут. Не в тех областях где сейчас много шума, а чуть чуть рядом:

  1. Робототехника. Мультимодальные модели это круто. Я жду пока появятся хорошие мультимодальные модели для робототехники. Пока что я видел слабо. Кажется что подходы которые появились 5-6 лет назад пока что более стабильные. Я не вижу технически невозможного почему тот же GPT4v не сможет преобразовывать текст + изображения в стабильные команды. Но нужны большие разнообразные датасеты и хорошее железо. А железо дешевеет семимильными шагами (про роботов и CV я иногда рассказываю у себя в канале). Но это так, надежды:)

  2. ASIC-претрейны. Чую что если кто поместит Dinov2 на чип стоимостью в пару долларов и с минимальным энергопотреблением - порвет рынок. Можно будет распознать почти все из коробки без обучения. Это уже какое-никакое взаимодействие с окружением. Понятно, что сейчас есть девайсы где можно то же самое творить с обучением. Например NPU платы за 8 баксов. Но там как-никак требуется экспертиза в сеточках чтобы все запустить.

Источник

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  • 09.10.25 11:05 marcushenderson624

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  • 09.10.25 11:05 marcushenderson624

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  • 09.10.25 11:05 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 09.10.25 11:05 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 11.10.25 04:41 luciajessy3

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  • 11.10.25 10:44 Tonerdomark

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  • 12.10.25 01:12 harristhomas7376

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  • 12.10.25 01:12 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.10.25 19:53 Tonerdomark

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  • 12.10.25 21:36 blessing

    Writing this review is a joy. Marie has provided excellent service ever since I started working with her in early 2018. I was worried I wouldn't be able to get my coins back after they were stolen by hackers. I had no idea where to begin, therefore it was a nightmare for me. However, things became easier for me after my friend sent me to [email protected] and +1 7127594675 on WhatsApp. I'm happy that she was able to retrieve my bitcoin so that I could resume trading.

  • 13.10.25 01:11 elizabethrush89

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  • 13.10.25 01:11 elizabethrush89

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  • 14.10.25 01:15 tyleradams

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  • 14.10.25 08:46 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.10.25 08:46 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.10.25 08:46 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.10.25 18:07 crypto

    Cryptocurrency's digital realm presents many opportunities, but it also conceals complex frauds. It is quite painful to lose your cryptocurrency to scam. You can feel harassed and lost as a result. If you have been the victim of a cryptocurrency scam, this guide explains what to do ASAP. Following these procedures will help you avoid further issues or get your money back. Communication with Marie ([email protected] and WhatsApp: +1 7127594675) can make all the difference.

  • 15.10.25 21:52 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.10.25 21:52 harristhomas7376

    "In the crypto world, this is great news I want to share. Last year, I fell victim to a scam disguised as a safe investment option. I have invested in crypto trading platforms for about 10yrs thinking I was ensuring myself a retirement income, only to find that all my assets were either frozen, I believed my assets were secure — until I discovered that my BTC funds had been frozen and withdrawals were impossible. It was a devastating moment when I realized I had been scammed, and I thought my Bitcoin was gone forever, Everything changed when a close friend recommended the Capital Crypto Recover Service. Their professionalism, expertise, and dedication enabled me to recover my lost Bitcoin funds back — more than €560.000 DEM to my BTC wallet. What once felt impossible became a reality thanks to their support. If you have lost Bitcoin through scams, hacking, failed withdrawals, or similar challenges, don’t lose hope. I strongly recommend Capital Crypto Recover Service to anyone seeking a reliable and effective solution for recovering any wallet assets. They have a proven track record of successful reputation in recovering lost password assets for their clients and can help you navigate the process of recovering your funds. Don’t let scammers get away with your hard-earned money – contact Email: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 17.10.25 20:17 tyleradams

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  • 17.10.25 20:20 lindseyvonn

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  • 17.10.25 20:22 richardcharles

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  • 17.10.25 20:23 stevekalfman

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  • 17.10.25 21:42 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 17.10.25 21:42 marcushenderson624

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  • 17.10.25 21:42 marcushenderson624

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